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Title: Music Recommendation System, Journal of Telecommunications and Information Technology, 2014, nr 2

Creator:

Spaleniak, Paweł ; Kostek, Bożena ; Kacznarek, Andrzej ; Hoffmann, Piotr

Date:

2014, nr 2

Resource Type:

artykuł

Description:

The paper focuses on optimization vector content feature for the music recommendation system. For the purpose of experiments a database is created consisting of excerpts of music les. They are assigned to 22 classes corresponding to di erent music genres. Various feature vectors based on low-level signal descriptors are tested and then optimized using correlation analysis and Principal Component Analysis (PCA). Results of the experiments are shown for the variety of feature vectors. Also, a music recommendation system is presented along with its main user interfaces.

Publisher:

Instytut Łączności - Państwowy Instytut Badawczy, Warszawa

Format:

application/pdf

Resource Identifier:

oai:bc.itl.waw.pl:1673 ; ISSN 1509-4553, on-line: ISSN 1899-8852

DOI:

10.26636/jtit.2014.2.1024

ISSN:

1509-4553

eISSN:

1899-8852

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

music information retrieval Principal Component Analysis music parameterization music classi cation feature vectors

Object collections:

Last modified:

Sep 2, 2024

In our library since:

Aug 18, 2014

Number of object content hits:

746

All available object's versions:

https://bc.itl.waw.pl/publication/1951

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Edition name Date
Hoffmann, Piotr; Kacznarek, Andrzej; Spaleniak, Paweł; Kostek, Bożena, Music Recommendation System, Journal of Telecommunications and Information Technology, 2014, nr 2 Sep 2, 2024

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Instytut Łączności – Państwowy Instytut Badawczy ul. Szachowa 1 04-894 Warszawa

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(+48) 5128 696

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